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DOE Looks to AI to Advance Next Generation of Quantum

Experts explain how the Genesis Mission will merge AI and quantum to further scientific discovery and research.

Matthew Chow, center, and Bethany Little discuss with Yuan-Yu Jau, off camera, the first practical way to detect atom loss for neutral-atom quantum computing at Sandia.
Matthew Chow, center, and Bethany Little discuss with Yuan-Yu Jau, off camera, the first practical way to detect atom loss for neutral-atom quantum computing at Sandia National Lab. Photo Credit: Craig Fritz
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The Energy Department’s new Quantum Genesis initiative aims to bring artificial intelligence and quantum computing together to accelerate scientific discovery, a combination national security researchers say could help overcome some of the biggest barriers to quantum computing.

“In my mind, the Genesis Mission first and foremost will help us get to performant quantum computers. You’re always going to have a classical computer controlling a quantum computer,” Sandia National Lab Computing Research Center Director Jennifer Gaudioso told GovCIO Media & Research. “With the high-performance computing and AI tools that Genesis is bringing, we will have more effective controls to integrate AI and quantum.”

In the context of today’s supercomputers, Gaudioso said quantum computing will become another tool in the broader ecosystem.

“I really think we’re headed to a heterogeneous computing future,” Gaudioso said. “Some problems will be best solved on a data flow accelerator with an AI backbone. … A quantum computer will do something that nothing else can do for us.”

AI’s Impact on Quantum

The new initiative stems from the department’s broader Genesis Mission that aims to integrate the agency’s 17 national laboratories and supercomputers into a single unified AI platform. Quantum Genesis aims to develop and deploy the world’s first fault-tolerant quantum computing capability by 2028.

Gaudioso said researchers are only beginning to understand how AI and quantum reinforce each other.

“This work of thinking about how AI and quantum can be used together is just getting started. We’re at the point where it seems real, and that wasn’t the case in the past five or 10 years,” said Gaudioso.

Why Quantum Matters

Gaudioso discussed how she sees quantum computing solving problems beyond today’s supercomputers in areas such as materials science, drug discovery and national security.

“Atoms and molecules are inherently quantum mechanical, and those are the first problems where we believe we will see quantum advantage. They’re super hard. We can only approximate them on classical computers, and we believe those are the areas where we’re going to see real advantage emerge from quantum computing,” she said.

As a nuclear weapons laboratory, Sandia could enhance its ability to model materials used in nuclear deterrence programs by developing more accurate simulations.

“We can do much better simulations if we can understand those materials from a quantum perspective with a quantum computer,” she said. “We also expect quantum computers to be really good at complex scheduling, optimization, resource allocation, and there’s obviously lots of optimization and resource allocation from a national security space where that would be really helpful.”

Progress Hinges on Error Correction

The need for a fault-tolerant computer hinges on the fact that quantum computers require a large number of qubits. The more qubits in a system, the more powerful and noisier the system. This increase in noise leads to errors in calculations.

“It’s not just about more qubits anymore,” Gaudioso said. “It’s also about better control.”

She said breakthroughs over the past several years have increased the number of operations quantum computers can perform before errors occur.

“The number of cycles you can run, the longer the computer program you can run on a quantum computer, is growing and is rapidly approaching the useful range,” she said. “That work in the last couple of years has really changed the timelines for quantum computing.”

Gaudioso said reaching that milestone will require more than advances in hardware. It will depend on collaboration across DOE’s laboratories, universities and industry to mature quantum technologies and integrate them into existing infrastructure.

She said Sandia’s role is to make emerging quantum technologies “more useful, reliable, secure and mission relevant.”

“The labs have a lot of deep knowledge, but industry has lots of advantages too. It’s going to require us to work together as a whole ecosystem to really get there,” she said.

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Silvia Oakland Staff Writer

Silvia Oakland is a staff writer/researcher for GovCIO Media & Research, where she primarily covers the Department of Health and Human Services.  Prior to joining the team in 2024, Silvia was a communications associate at Briya Public Charter School where she focused on multimedia content creation and student outreach. She also worked as a multimedia reporter in Iowa covering feature stories in Northeast Iowa. Silvia earned her Bachelor of… read more

Amy Kluber
Amy Kluber Editor-in-Chief

Amy Kluber is editor-in-chief of GovCIO Media & Research. Previously she managed two aviation publications at B2B media company Access Intelligence. She was nominated for The Innovation in Aerospace Journalism & Publishing Award for launching and hosting an aviation podcast. Prior to that she wrote news scripts and produced videos for the network Newsy. She earned her bachelor’s and master’s degrees in journalism from the University… read more

Sarah Sybert
Sarah Sybert Managing Editor

Signal: sarahsybert.19 Sarah Sybert is managing editor of GovCIO Media & Research. She rejoined the team in October 2024 after serving as a senior communications associate at McKesson Medical-Surgical, where she led editorial content for the business unit's internal audience and supported content development for senior executives.  Sarah’s history with GovCIO Media & Research began in 2021, when she served as a staff writer and… read more

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